Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI demos are easy. AI you’d actually trust near your control environment is not. If you’ve sat through a few of these pitches lately, you’ve probably landed on the same four questions every CISO we talk to is asking. And you’re right to ask them.

The recent wave of announcements surrounding Claude Mythos and Project Glasswing has certainly filled our feeds. While these developments are technically interesting, the real story for me lately has been what they reveal about where the cybersecurity market is heading and how quickly that evolution is reshaping the risk conversation.

Artificial intelligence tools have completely revolutionized the way we work, boosting productivity to heights we couldn’t have imagined just a few years ago. But the upside comes with a high-stakes catch: every time an employee pastes proprietary code, financial records, or sensitive customer data into a public AI prompt, your company is at risk. As Shadow AI adoption skyrockets, implementing robust data leakage prevention is no longer an IT checklist item — it’s a business imperative.

Today, we’re launching BlueVoyant AI. In my first months as CEO, I’ve had the chance to meet with many of you. What struck me most is the scope and importance of what you’re protecting, and how seriously you carry that responsibility. What also came through clearly is that your vision for the future of security aligns with ours.

AI is already incorporated into most of your clients’ workflows. Employees are using chatbots and other built-in GenAI tools to draft emails, analyze data and automate work. The challenge? Much of that activity is happening outside your formal security controls, and that creates a new risk layer. For managed service providers (MSPs), the question is no longer whether to secure AI adoption for their clients, but how to evaluate the right AI security solution.

Security teams are dealing with a fundamentally different operating environment than they were a few years ago. AI-assisted development is rapidly pushing more code and infrastructure into production, and according to Datadog’s 2026 State of DevSecOps report, 40% of running services have an exploitable vulnerability.

If you’re like our team, the morning after the Claude Mythos announcement brought more questions than answers. Among them: “Serious question. Do customers still need SAST?” It’s a fair question if you stop at the headline. Claude Mythos, Anthropic’s frontier AI model currently gated to vetted partners through Project Glasswing, had autonomously identified thousands of zero-day vulnerabilities across major operating systems and browsers . No rule books, no checklists.

By mid-2026, the question is no longer whether AI belongs in the enterprise. It’s already embedded in daily work, supporting research, development, customer engagement, and operations. AI agents now act on behalf of employees, automate decisions, and interact directly with enterprise data and systems. This shift creates a new security challenge.